Hanna Geppert

According to our database1, Hanna Geppert authored at least 16 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Enhanced abbreviation-expansion pair detection for glossary term extraction.
Inf. Softw. Technol., July, 2023

A comprehensive modeling approach for the task mapping problem in heterogeneous systems with dataflow processing units.
Concurr. Comput. Pract. Exp., 2023

ILLOD Replication Package: An Open-Source Framework for Abbreviation-Expansion Pair Detection and Term Consolidation in Requirements.
Proceedings of the 31st IEEE International Requirements Engineering Conference, 2023

2022
Abbreviation-Expansion Pair Detection for Glossary Term Extraction.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2022

Modeling Task Mapping for Data-Intensive Applications in Heterogeneous Systems.
Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

2019
Internal Versus External Balancing in the Evaluation of Graph-Based Number Types.
Proceedings of the Analysis of Experimental Algorithms - Special Event, 2019

Detection of Defective Requirements using Rule-based Scripts.
Proceedings of the Joint Proceedings of REFSQ-2019 Workshops, 2019

2018
Measuring the coverage of requirements through enterprise architecture models.
Proceedings of the International Conference on Military Communications and Information Systems, 2018

2017
Requirements view for enterprise architectures.
Proceedings of the International Conference on Military Communications and Information Systems, 2017

2011
Development of a Method To Consistently Quantify the Structural Distance between Scaffolds and To Assess Scaffold Hopping Potential.
J. Chem. Inf. Model., 2011

2010
Current Trends in Ligand-Based Virtual Screening: Molecular Representations, Data Mining Methods, New Application Areas, and Performance Evaluation.
J. Chem. Inf. Model., 2010

2009
Ligand Prediction for Orphan Targets Using Support Vector Machines and Various Target-Ligand Kernels Is Dominated by Nearest Neighbor Effects.
J. Chem. Inf. Model., 2009

Searching for Target-Selective Compounds Using Different Combinations of Multiclass Support Vector Machine Ranking Methods, Kernel Functions, and Fingerprint Descriptors.
J. Chem. Inf. Model., 2009

Shannon Entropy-Based Fingerprint Similarity Search Strategy.
J. Chem. Inf. Model., 2009

Ligand Prediction from Protein Sequence and Small Molecule Information Using Support Vector Machines and Fingerprint Descriptors.
J. Chem. Inf. Model., 2009

2008
Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds.
J. Chem. Inf. Model., 2008


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